At ModalAI®, our mission is to enable the drone industry with the tools they need to accelerate their path to autonomy. With our VOXL autopilots, open software, and plethora of interoperable accessories, we are setting the stage for innovation and cutting-edge technology in the autonomous drone space. Whether you are developing drones for commercial, industrial, or recreational applications, our hardware and software solutions are here to help you hit the ground running in 2025.

Best-in-Class Hardware to Propel Your Path to Autonomy

VOXL 2: Revolutionizing Drone Autonomy

VOXL 2 is a next-generation autopilot that serves as the foundation of the Blue UAS Framework 2.0 program. Designed to be both lightweight and powerful, VOXL 2 weighs only 16 grams and combines a Qualcomm QRB5165-powered companion computer and PX4/Ardupilot flight controller. Its credit-card-sized form factor makes it a size, weight, and power (SWAP) optimized addition to the smallest drones, providing advanced computing capabilities while remaining NDAA-compliant. 

VOXL 2 Mini: Tiny But Mighty Autopilot

For developers working with the smallest drones, VOXL 2 Mini offers the perfect solution. Weighing only 11 grams, this Oreo-sized autopilot fits seamlessly into compact designs while maintaining the same robust capabilities of its “bigger brother”, VOXL 2. The Mini’s 30.5mm x 30.6mm standard mounting configuration makes it ideal for applications such as FPV racing drones or sub-250g designs. 

Ready to Fly Reference Drones

To streamline your development process, ModalAI also provides complete reference drones. Named as one of 2024’s biggest drone launches, the Starling 2 and Starling 2 Max are ready-to-fly platforms that demonstrate the full potential of VOXL. These drones were created to help developers who want to accelerate their prototyping and testing phases, offering out-of-the-box functionality such as GPS-denied navigation, path planning, obstacle avoidance and detection, and more, so you can focus on building your end application. The Starling 2 is ModalAI’s smallest development drone to date, weighing in at 275g. The Starling 2 Max, is much larger at 500g, boasts up to 55 minutes of flight time, and can carry its weight in an additional payload. 

Open Software for Maximum Flexibility

At ModalAI, we recognize the importance of flexibility and interoperability in drone development. That’s why our VOXL SDK is open, enabling seamless integration with your preferred tools and frameworks. With pre-integrated TensorFlow Lite neural networks, developers can harness AI capabilities for tasks such as pose estimation, object detection, and classification.

Compatibility with Leading Development Tools

VOXL SDK is compatible with industry-standard applications like:

• OpenCV
• OpenCL
• ROS 2
• Yolov8
• TensorFlowLite
• PX4
• Ardupilot

These integrations make it easier than ever to get started, regardless of your specific development goals. Whether you are building drones for surveying, inspection, mapping, or other use cases, our open software ecosystem ensures that you have the tools you need to succeed.

Comprehensive Developer Resources

To support your journey, we offer extensive documentation, code repositories, and support channels:

• Docs: docs.modalai.com

• Code: gitlab.com/voxl-public

• Downloads: developer.modalai.com

• Forum: forum.modalai.com

• Store: shop.modalai.com

Our commitment to providing up-to-date resources ensures that you can access the latest features, updates, and support whenever you need them.

Why Choose ModalAI for Your 2025 Drone Development?

As we look ahead to the new year, there’s never been a better time to invest in your drone development ambitions. ModalAI’s innovative solutions are designed to reduce time-to-market, enhance autonomy, and give developers the tools they need to create groundbreaking drone applications. By choosing ModalAI, you’ll benefit from:

• Cutting-edge, NDAA-compliant hardware

• Flexible, developer-friendly software ecosystems

• Comprehensive support and resources

Join the Future of Drone Autonomy Today

2025 is the year to elevate your drone projects, and ModalAI is here to help you make it happen. Whether you’re building drones for commercial applications, research, or personal projects, our solutions provide a robust foundation for innovation. Sign up for our newsletter to stay updated on the latest developments, and visit our online store to explore our products. Together, let’s shape the future of autonomous drones.

A look at the top 5 companion computers used by drone developers.

A companion computer is a separate onboard computer that works alongside the UAV’s primary flight controller. The companion computer acts as the brains of the robot, and processes image sensor and video data for “sight” and adds context to it - enabling perception. Drones that have a companion computer onboard can process video and image data in real time and execute autonomous navigation, path planning, and Computer Vision (CV)/AI-tasks such as obstacle avoidance and object detection. Add a radio to the mix and drones can operate and stream encoded video beyond the workshop walls. Ultimately, companion computers enable developers to run advanced AI and CV applications unique to their drone use case.

In the use case of the drone, there’s another critical sub-system in play: the flight controller. The flight controller communicates with the companion computer, adding context to data like speed, direction, and altitude, also known as PVAT (Position, Velocity, Acceleration, and Time). Traditionally, a flight controller has been a separate add-on unit, but if you can find one pre-configured with a companion computer, that can be a more efficient option.

ModalAI VOXL 2

VOXL 2 is a Blue UAS Framework autopilot that fuses a PX4 or ArduPilot flight controller and companion computer powered by Qualcomm QRB5165 into one 16g system-on-module (SOM). This credit-card-sized autopilot is built in the USA and is NDAA ‘20 Section 848 compliant. VOXL 2 features 15 TOPS of AI embedded NPU and can conduct autonomous computer vision based navigation and stream real-time h.265 video over 4G/5G, WiFi, Microhard and Doodle Labs networks. Unique to the VOXL 2 is a dedicated computer vision DSP, which offloads high-power image processing, freeing up power consumption from the GPU and CPU. VOXL 2-powered drones can conduct real-time object detection, tracking, and classification, as well as other machine learning tasks out of the box. 

VOXL 2 is used by drone OEMs in the ISR, agriculture, and defense space, researchers, and individual developers. Developers can get started quickly with VOXL 2’s open documentation and compatibility with popular developer applications such as PX4, ArduPilot, Docker, OpenCV, OpenCL and TensorFlow Lite.

VOXL 2 starts at $1,249 and is available for purchase through ModalAI’s website.

NVIDIA Jetson TX2 Developer Kit

The Jetson TX2 is a 7.5-watt supercomputer on a module (SOM) that delivers 1.33 TFLOPs, NVIDIA Pascal GPU with 256 CUDA cores and ARM Cortex-A57 CPU. The Jetson TX2 is designed for embedded systems and AI applications and works with NVIDIA’s rich set of AI tools and workflows, which enable developers to train and deploy neural networks quickly. The Jetson TX2 is supported by the NVIDIA JetPack SDK and supports popular AI frameworks like TensorFlow, PyTorch and Caffe. 

Although the Jetson TX2 boasts powerful performance, the 314g SOM alone cannot power an autonomous drone. Developers who choose to use the Jetson TX2 for autonomous drone applications need to configure the Jetson TX2 with a developer kit to access additional IO ports that will enable communication to flight hardware and a separate flight controller to activate flight. These additional boards can add significant weight to a drone’s final design and should be taken into consideration during the evaluation phase.  

The Jetson TX2 developer kit has recently been discontinued. The Jetson TX2 is $490 and is available for purchase through Arrow’s website.

NVIDIA Orin Nano Developer Kit

The Orin Nano is an entry-level companion computer that delivers up to 40 TOPS of AI performance in the smallest Jetson form factor. The Orin Nano features NVIDIA Ampere GPU with 1024 CUDA cores and 32 Tensor Cores for running complex AI models and deep learning algorithms. Similar to the Jetson TX2, the Orin Nano is supported by the NVIDIA JetPack SDK and supports TensorFlow, PyTorch and Caffe. 

Similar to the Jetson TX2, the 140g Orin Nano requires a separate flight controller to activate flight. These additional boards can add significant weight to a drone’s final design and should be taken into consideration during the evaluation phase. 

The Orin Nano Developer Kit starts at $499 and is available for purchase at Arrow’s website.

Raspberry Pi 5

Raspberry Pi is a popular intro-level companion computer. At under $100, the Raspberry Pi is a great option for hobbyists, university researchers, and developers who want to get started on their low-compute project quickly at a low cost. Raspberry Pi is powered by an ARM-based processor and primarily runs on Raspberry Pi OS. Its affordability, coupled with powerful hardware and a rich ecosystem, makes it an excellent choice for both hobbyists and professional developers in the drone industry.

Some nuances with the Raspberry Pi developers should take note of is the low power GPU and lack of neural processing unit (NPU) and on-board flight controller. Developers looking to use a Raspberry Pi for autonomous AI drone applications will need to purchase a separate flight controller in order for the drone to intelligently process its surroundings. The Raspberry Pi’s lower power GPU makes it difficult to offload intense or sophisticated programming. Popular applications like PyTorch or TensorFlow Lite may experience latency because of this. 

Raspberry Pi 5 starts at $79 and is available for purchase from many approved resellers. 

Raspberry Pi 4

Raspberry Pi 4 is a versatile, low-cost, credit-card-sized single-board computer that is designed to promote computer science education and provide a powerful platform for various projects and applications. The open-source Raspberry Pi platform enables developers to create custom machine learning applications tailored to specific drone missions.  

Similar to the Raspberry Pi 5, Raspberry Pi 4 does not have a neural processing unit (NPU) and on-board flight controller. Developers looking to use a Raspberry Pi for autonomous AI drone applications will need to purchase a separate flight controller in order for the drone to intelligently process its surroundings. 

Raspberry Pi 4 starts at $35 and is available for purchase from many approved resellers. 

At a Glance Comparison: Companion Computer Developer Kits

The following table includes stats from SOM alone and separate developer kits

*Source: https://forums.developer.nvidia.com/t/weight-of-boards/175292/3 

SDK 1.1.2 is now available on all VOXL products.

Happy New Year! We’ve been hard at work making big changes under the hood. Our latest VOXL SDK 1.1.2 is now available on all VOXL products - including our original Blue UAS Framework 1.0 VOXL line. Experience streamlined configuration and faster video processing like never before.

SDK 1.1.2 feature highlights:

APQ8096 and Qualcomm Flight RB5 5G Platform support

Now all VOXL and RB5 products run the same SDK across the board

v1.14 on Flight Core v1 and v2
Our Flight Core V1 and V2 images are now built from the same codebase as the PX4 version running on VOXL 2 SDSP ensuring predictable PX4 behavior across the product line.

Hardware-accelerated video compression in voxl-camera-server

Always-on RTSP video and MAVLink camera protocol support

Streamlined configuration

Other

• Improved thresholding in voxl-calibrate-camera that’s less sensitive to lighting conditions
• 16-bit raw lepton thermal camera data pipe
• Send VIO packets with quality=-1 to PX4 on VIO failure to utilize PX4’s new quality metric functionality and make for more graceful fallback to altitude flight mode.
• Robustness improvements to libmodal_pipe